Databases · head to head
OpenSearch vs PostgreSQL

OpenSearch
Databases
Open-source search and analytics suite forked from Elasticsearch
- From
- Free
- Rated
- -

PostgreSQL
Databases
The world's most advanced open source relational database
- From
- Free
- Rated
- -
The short version
- Each has a real cost: OpenSearch diverged from Elasticsearch since 7.10, so clients, plugins and features no longer map one to one; PostgreSQL requires manual scaling across multiple machines for very large deployments
- They diverge on capability: OpenSearch covers Full-text search, PostgreSQL covers ACID Compliance.
Where they differ
Only the attributes on which OpenSearch and PostgreSQL actually diverge.
| Attribute | OpenSearch | PostgreSQL |
|---|---|---|
| Pricing model | Open source, no licence fee; managed services billed separately | Unknown |
| Platforms | Linux, Docker, Kubernetes, Self-hosted | Linux, Windows, macOS, BSD, Unix |
| Founded | Unknown | 1996 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in OpenSearch
- Full-text search
- OpenSearch Dashboards
- Log analytics
- Vector search
Only in PostgreSQL
- ACID Compliance
- JSON/JSONB Support
- Full-text Search
- Extensibility
- Advanced Indexing
- Partitioning
- Replication
- pgAdmin
What people use each for
The jobs each tool is most often brought in to do.
OpenSearch
- Log and observability storage where an Apache-2.0 licence is a requirementnot PostgreSQL
- Replacing Elasticsearch after the licence change without changing architecturenot PostgreSQL
- Search plus analytics on one cluster rather than two systemsnot PostgreSQL
PostgreSQL
- Transaction processingnot OpenSearch
- Data storagenot OpenSearch
- Application backendnot OpenSearch
- Reportingnot OpenSearch
- Data analyticsnot OpenSearch
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
OpenSearch
- Diverged from Elasticsearch since 7.10, so clients, plugins and features no longer map one to one
- Operationally heavy in the way Elasticsearch is: cluster sizing, shard strategy and JVM tuning are ongoing work
- Smaller ecosystem of third-party tooling than Elasticsearch, which most integrations still target first
- Overkill for plain application search, where a dedicated search engine is far simpler
PostgreSQL
- Requires manual scaling across multiple machines for very large deployments
- Performance tuning requires deep knowledge of database internals
- No built-in graphical admin interface; command-line tools are primary method
Pricing, plan by plan
OpenSearch
Free- OpenSearchFree
- Full functionality
- Self-hosted
- No usage limits
PostgreSQL
FreeNo published plan breakdown. See the PostgreSQL review.
Which should you pick?
Choose OpenSearch if
- You need full-text search.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes, Self-hosted.
- You also want opensearch dashboards.
Choose PostgreSQL if
- You need acid compliance.
- You want to start without paying.
- You work on Linux, Windows, macOS, BSD, Unix.
- You also want json/jsonb support.
Questions people ask
- Is OpenSearch or PostgreSQL better?
- Neither clearly leads. OpenSearch starts at Free and PostgreSQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, OpenSearch or PostgreSQL?
- OpenSearch starts at Free and PostgreSQL at Free.
- Does OpenSearch or PostgreSQL run on more platforms?
- OpenSearch runs on Linux, Docker, Kubernetes, Self-hosted. PostgreSQL runs on Linux, Windows, macOS, BSD, Unix.
- Can I use OpenSearch for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is OpenSearch best used for?
- OpenSearch is most often used for log and observability storage where an apache-2.0 licence is a requirement, replacing elasticsearch after the licence change without changing architecture, search plus analytics on one cluster rather than two systems. Of those, log and observability storage where an apache-2.0 licence is a requirement and replacing elasticsearch after the licence change without changing architecture are not what PostgreSQL is typically brought in for.
- What can OpenSearch do that PostgreSQL cannot?
- OpenSearch covers Full-text search, OpenSearch Dashboards, Log analytics, Vector search. PostgreSQL covers ACID Compliance, JSON/JSONB Support, Full-text Search, Extensibility.
Answered from the vendors’ own pages
OpenSearch: Is OpenSearch free?
Yes, Apache 2.0 licensed under the Linux Foundation. Amazon OpenSearch Service is a paid managed option.
PostgreSQL: Is PostgreSQL completely free?
Yes. PostgreSQL is completely free and open source with no licensing fees or restrictions on use.
SourceOpenSearch: Why does OpenSearch exist?
Elastic moved Elasticsearch off the Apache 2.0 licence in 2021. AWS forked the last Apache-licensed version, and the project now sits under the Linux Foundation.
PostgreSQL: What platforms does PostgreSQL run on?
PostgreSQL runs on all major operating systems including Linux, Windows, macOS, BSD, and commercial Unix variants, and has been proven highly scalable managing terabytes to petabytes of data.
SourceOpenSearch: Is OpenSearch compatible with Elasticsearch?
It was at the 7.10 fork point. Both have developed independently since, so compatibility weakens with every release and should be verified for the features you use.
PostgreSQL: What procedural languages are supported?
PostgreSQL supports stored functions and procedures in multiple languages including PL/pgSQL, Perl, Python, Tcl, Java, JavaScript, R, and Rust.
SourcePostgreSQL: What is ACID compliance in PostgreSQL?
PostgreSQL has been ACID-compliant since 2001, ensuring data integrity through atomicity, consistency, isolation, and durability guarantees for all transactions.
SourcePostgreSQL: Does PostgreSQL support JSON data?
Yes. PostgreSQL supports JSON and JSONB data types for storing and querying JSON documents, along with XML and other document formats.
SourceRelated pages
Other head to heads
- OpenSearch vs Cockroach Labs
- OpenSearch vs Airtable
- OpenSearch vs Amazon Aurora
- OpenSearch vs Elasticsearch
- OpenSearch vs Apache Kafka
- OpenSearch vs PlanetScale
- OpenSearch vs Meilisearch
- OpenSearch vs Turso
- OpenSearch vs Azure SQL
- OpenSearch vs ClickHouse
- OpenSearch vs Couchbase
- OpenSearch vs DuckDB
- OpenSearch vs MariaDB
- OpenSearch vs Oracle Database
- OpenSearch vs DataGrip
- OpenSearch vs Firebolt
- OpenSearch vs Google Cloud SQL
- OpenSearch vs MotherDuck
- PostgreSQL vs Cockroach Labs
- PostgreSQL vs Airtable
- PostgreSQL vs Amazon Aurora
- PostgreSQL vs Elasticsearch
- PostgreSQL vs Apache Kafka
- PostgreSQL vs PlanetScale
- PostgreSQL vs Meilisearch
- PostgreSQL vs Turso
- PostgreSQL vs Azure SQL
- PostgreSQL vs ClickHouse
- PostgreSQL vs Couchbase
- PostgreSQL vs DuckDB
- PostgreSQL vs MariaDB
- PostgreSQL vs Oracle Database
- PostgreSQL vs DataGrip
- PostgreSQL vs Firebolt
- PostgreSQL vs Google Cloud SQL
- PostgreSQL vs MotherDuck
